Projects

Crop Recommendation System
Crop-Recommendation-System

Machine learning based Crop recommender system

Accomplishments
  • Tools: FastAPI, Python, scikit-learn, XGBoost, pandas, Jupyter Notebook, LabelEncoder
  • Recommends the most suitable crop to grow based on soil and environmental conditions.
Energy Prediction App
Energy-Consumption-Prediction

Predicts energy consumption based on environmental sensor inputs.

Accomplishments
  • Tools: pandas, NumPy, CSS, matplotlib, seaborn
  • Predicts energy usage from sensor/environment data using trained ML models.
  • Frontend built with React; backend via FastAPI.
Paddy Leaf Disease Detection
Paddy-Leaf-Disease-Classification

Classifies diseases in rice leaves using deep learning.

Accomplishments
  • Tools: TensorFlow, FastAPI, pandas, NumPy, Python, Jupyter
  • Uses CNNs to identify visual disease features from leaf images.
  • Returns the classified disease result with confidence.